Computes the average age in the stock numbers, weighted by abundance.
Functions
meanageCatch(): Computes the average age in the catch-at-age, weighted by numbers caught.meanwt(): Calculate the mean weight-at-age in stock and catch
Examples
data(ple4)
meanage(ple4)
#> An object of class "FLQuant"
#> , , unit = unique, season = all, area = unique
#>
#> year
#> age 1957 1958 1959 1960 1961 1962 1963 1964 1965 1966 1967 1968 1969 1970
#> all 3.37 3.09 2.85 2.84 2.83 3.05 3.17 2.20 2.63 3.05 3.44 3.67 3.43 3.23
#> year
#> age 1971 1972 1973 1974 1975 1976 1977 1978 1979 1980 1981 1982 1983 1984
#> all 3.38 3.51 2.43 2.35 2.52 2.70 2.49 2.52 2.47 2.31 2.29 1.94 2.11 2.26
#> year
#> age 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998
#> all 2.16 1.71 2.09 2.31 2.50 2.59 2.61 2.61 2.75 2.71 2.29 2.18 1.70 2.14
#> year
#> age 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
#> all 2.45 2.43 2.53 1.97 2.37 2.24 2.40 2.55 2.40 2.56 2.76 2.78 2.83 3.07
#> year
#> age 2013 2014 2015 2016 2017
#> all 3.20 3.26 3.71 3.88 3.67
#>
#> units:
meanageCatch(ple4)
#> An object of class "FLQuant"
#> , , unit = unique, season = all, area = unique
#>
#> year
#> age 1957 1958 1959 1960 1961 1962 1963 1964 1965 1966 1967 1968 1969 1970
#> all 3.80 3.59 3.27 3.14 3.13 3.33 3.58 3.20 3.00 3.35 3.73 3.92 3.74 3.49
#> year
#> age 1971 1972 1973 1974 1975 1976 1977 1978 1979 1980 1981 1982 1983 1984
#> all 3.60 3.77 2.93 2.62 2.67 2.77 2.55 2.59 2.63 2.60 2.60 2.28 2.31 2.44
#> year
#> age 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998
#> all 2.38 1.96 2.31 2.62 2.85 3.00 3.04 3.04 3.17 3.24 2.99 2.79 2.41 2.46
#> year
#> age 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
#> all 2.85 2.99 3.02 2.55 2.55 2.51 2.48 2.60 2.49 2.48 2.55 2.58 2.76 3.00
#> year
#> age 2013 2014 2015 2016 2017
#> all 3.03 2.88 3.09 3.29 3.35
#>
#> units:
meanwt(ple4)
#> An object of class "FLQuant"
#> , , unit = unique, season = all, area = unique
#>
#> year
#> age 1957 1958 1959 1960 1961 1962 1963 1964 1965 1966
#> all 0.2298 0.2095 0.1942 0.1944 0.1888 0.2306 0.2262 0.1348 0.1358 0.1693
#> year
#> age 1967 1968 1969 1970 1971 1972 1973 1974 1975 1976
#> all 0.2125 0.2442 0.2274 0.2159 0.2451 0.2814 0.1639 0.1562 0.1835 0.2159
#> year
#> age 1977 1978 1979 1980 1981 1982 1983 1984 1985 1986
#> all 0.2006 0.2052 0.2005 0.1921 0.1714 0.1380 0.1505 0.1654 0.1570 0.1102
#> year
#> age 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996
#> all 0.1259 0.1306 0.1480 0.1568 0.1651 0.1641 0.1831 0.1857 0.1658 0.1444
#> year
#> age 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006
#> all 0.0996 0.1140 0.1348 0.1391 0.1630 0.1224 0.1491 0.1431 0.1453 0.1663
#> year
#> age 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016
#> all 0.1405 0.1582 0.1803 0.1832 0.1622 0.1657 0.1741 0.1826 0.1722 0.1853
#> year
#> age 2017
#> all 0.1794
#>
#> units: kg